�ݺ�ߣshows by User: MinakshiAtre

�ݺ�ߣshows by User: MinakshiAtre / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: MinakshiAtre / Tue, 12 Oct 2021 11:52:37 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: MinakshiAtre Part1 speech basics /slideshow/part1-speech-basics/250427801 part1speechbasics-211012115237
Fundamentals of speech, voiced, unvoiced segments, formants, fricatives, LTI model of speech, LTV model of the speech, MATALB]]>
Fundamentals of speech, voiced, unvoiced segments, formants, fricatives, LTI model of speech, LTV model of the speech, MATALB]]> Tue, 12 Oct 2021 11:52:37 GMT /slideshow/part1-speech-basics/250427801 MinakshiAtre@slideshare.net(MinakshiAtre) Part1 speech basics MinakshiAtre Fundamentals of speech, voiced, unvoiced segments, formants, fricatives, LTI model of speech, LTV model of the speech, MATALB <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/part1speechbasics-211012115237-thumbnail.jpg?width=120&height=120&fit=bounds" /> Fundamentals of speech, voiced, unvoiced segments, formants, fricatives, LTI model of speech, LTV model of the speech, MATALB

Part1 speech basics from Minakshi Atre

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0 Signals&Systems: Quick pointers to Fundamentals /slideshow/signalssystems-quick-pointers-to-fundamentals/247033000 signalssystemsquickpointers-210426124323
It gives the flow to understand the signals and systems with their definitions, examples and properties. ]]>
It gives the flow to understand the signals and systems with their definitions, examples and properties. ]]> Mon, 26 Apr 2021 12:43:22 GMT /slideshow/signalssystems-quick-pointers-to-fundamentals/247033000 MinakshiAtre@slideshare.net(MinakshiAtre) Signals&Systems: Quick pointers to Fundamentals MinakshiAtre It gives the flow to understand the signals and systems with their definitions, examples and properties. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/signalssystemsquickpointers-210426124323-thumbnail.jpg?width=120&height=120&fit=bounds" /> It gives the flow to understand the signals and systems with their definitions, examples and properties.

Signals&Systems: Quick pointers to Fundamentals from Minakshi Atre

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0 Unit 4 Statistical Learning Methods: EM algorithm /slideshow/unit-4-statistical-learning-methods-em-algorithm/239472564 unit4part3-201125091304
It will discuss different learning methods and will further focus on Expectation Maximization Method. EM is discussed with solved example.]]>
It will discuss different learning methods and will further focus on Expectation Maximization Method. EM is discussed with solved example.]]> Wed, 25 Nov 2020 09:13:03 GMT /slideshow/unit-4-statistical-learning-methods-em-algorithm/239472564 MinakshiAtre@slideshare.net(MinakshiAtre) Unit 4 Statistical Learning Methods: EM algorithm MinakshiAtre It will discuss different learning methods and will further focus on Expectation Maximization Method. EM is discussed with solved example. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/unit4part3-201125091304-thumbnail.jpg?width=120&height=120&fit=bounds" /> It will discuss different learning methods and will further focus on Expectation Maximization Method. EM is discussed with solved example.

Unit 4 Statistical Learning Methods: EM algorithm from Minakshi Atre

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0 Inference in HMM and Bayesian Models /slideshow/inference-in-hmm-and-bayesian-models-239472333/239472333 hmmbayesian-201125090123
It gives an overview about the role of Hidden Markov Models and Bayesian Models in Inference. Discusses the limitations of the FOL and talks about the generative and temporal models]]>
It gives an overview about the role of Hidden Markov Models and Bayesian Models in Inference. Discusses the limitations of the FOL and talks about the generative and temporal models]]> Wed, 25 Nov 2020 09:01:22 GMT /slideshow/inference-in-hmm-and-bayesian-models-239472333/239472333 MinakshiAtre@slideshare.net(MinakshiAtre) Inference in HMM and Bayesian Models MinakshiAtre It gives an overview about the role of Hidden Markov Models and Bayesian Models in Inference. Discusses the limitations of the FOL and talks about the generative and temporal models <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hmmbayesian-201125090123-thumbnail.jpg?width=120&height=120&fit=bounds" /> It gives an overview about the role of Hidden Markov Models and Bayesian Models in Inference. Discusses the limitations of the FOL and talks about the generative and temporal models

Inference in HMM and Bayesian Models from Minakshi Atre

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0 Artificial Intelligence: Basic Terminologies /slideshow/artificial-intelligence-basic-terminologies/238516372 1terminologies-200917044908
AI fundamental terms]]>
AI fundamental terms]]> Thu, 17 Sep 2020 04:49:08 GMT /slideshow/artificial-intelligence-basic-terminologies/238516372 MinakshiAtre@slideshare.net(MinakshiAtre) Artificial Intelligence: Basic Terminologies MinakshiAtre AI fundamental terms <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/1terminologies-200917044908-thumbnail.jpg?width=120&height=120&fit=bounds" /> AI fundamental terms

Artificial Intelligence: Basic Terminologies from Minakshi Atre

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0 2)local search algorithms /slideshow/2local-search-algorithms-238385593/238385593 2localsearchalgorithms-200903180944
Hill climbing, simulated annealing, gradient descent algorithms, local search]]>
Hill climbing, simulated annealing, gradient descent algorithms, local search]]> Thu, 03 Sep 2020 18:09:44 GMT /slideshow/2local-search-algorithms-238385593/238385593 MinakshiAtre@slideshare.net(MinakshiAtre) 2)local search algorithms MinakshiAtre Hill climbing, simulated annealing, gradient descent algorithms, local search <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2localsearchalgorithms-200903180944-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hill climbing, simulated annealing, gradient descent algorithms, local search

2)local search algorithms from Minakshi Atre

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0 Performance appraisal/ assessment in higher educational institutes (HEI) /slideshow/performance-appraisal-assessment-in-higher-educational-institutes-hei/238344480 performanceappraisalinhighereducationalinstituteshei-200831195924
Performance Appraisal, Assessment, Research Score, Publications, Marks for joint publications, Higher Educational Institutes, HEI, ]]>
Performance Appraisal, Assessment, Research Score, Publications, Marks for joint publications, Higher Educational Institutes, HEI, ]]> Mon, 31 Aug 2020 19:59:24 GMT /slideshow/performance-appraisal-assessment-in-higher-educational-institutes-hei/238344480 MinakshiAtre@slideshare.net(MinakshiAtre) Performance appraisal/ assessment in higher educational institutes (HEI) MinakshiAtre Performance Appraisal, Assessment, Research Score, Publications, Marks for joint publications, Higher Educational Institutes, HEI, <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/performanceappraisalinhighereducationalinstituteshei-200831195924-thumbnail.jpg?width=120&height=120&fit=bounds" /> Performance Appraisal, Assessment, Research Score, Publications, Marks for joint publications, Higher Educational Institutes, HEI,

Performance appraisal/ assessment in higher educational institutes (HEI) from Minakshi Atre

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0 DSP preliminaries /slideshow/dsp-preliminaries/237190682 unit1-200723180550
Sampling Theorem, Nyquist, Sampling Examples, Sine Spectrum]]>
Sampling Theorem, Nyquist, Sampling Examples, Sine Spectrum]]> Thu, 23 Jul 2020 18:05:50 GMT /slideshow/dsp-preliminaries/237190682 MinakshiAtre@slideshare.net(MinakshiAtre) DSP preliminaries MinakshiAtre Sampling Theorem, Nyquist, Sampling Examples, Sine Spectrum <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/unit1-200723180550-thumbnail.jpg?width=120&height=120&fit=bounds" /> Sampling Theorem, Nyquist, Sampling Examples, Sine Spectrum

DSP preliminaries from Minakshi Atre

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0 Artificial intelligence agents and environment /MinakshiAtre/artificial-intelligence-agents-and-environment artificialintelligenceagentsandenvironment-190708132542
Discusses various definitions of AI, the rational agents, the types of agents along with the concept of environment and the types of environments]]>
Discusses various definitions of AI, the rational agents, the types of agents along with the concept of environment and the types of environments]]> Mon, 08 Jul 2019 13:25:42 GMT /MinakshiAtre/artificial-intelligence-agents-and-environment MinakshiAtre@slideshare.net(MinakshiAtre) Artificial intelligence agents and environment MinakshiAtre Discusses various definitions of AI, the rational agents, the types of agents along with the concept of environment and the types of environments <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/artificialintelligenceagentsandenvironment-190708132542-thumbnail.jpg?width=120&height=120&fit=bounds" /> Discusses various definitions of AI, the rational agents, the types of agents along with the concept of environment and the types of environments

Artificial intelligence agents and environment from Minakshi Atre

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0 Unit 6: DSP applications /slideshow/unit-6-dsp-applications-123401786/123401786 dspunit6-181119121021
This presentation includes the discussion of Digital Signal Processing applications such as two band digital corssover system, woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction using FIR/ IIR filters, speech coding and compression, CD recording system]]>
This presentation includes the discussion of Digital Signal Processing applications such as two band digital corssover system, woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction using FIR/ IIR filters, speech coding and compression, CD recording system]]> Mon, 19 Nov 2018 12:10:21 GMT /slideshow/unit-6-dsp-applications-123401786/123401786 MinakshiAtre@slideshare.net(MinakshiAtre) Unit 6: DSP applications MinakshiAtre This presentation includes the discussion of Digital Signal Processing applications such as two band digital corssover system, woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction using FIR/ IIR filters, speech coding and compression, CD recording system <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dspunit6-181119121021-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation includes the discussion of Digital Signal Processing applications such as two band digital corssover system, woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction using FIR/ IIR filters, speech coding and compression, CD recording system

Unit 6: DSP applications from Minakshi Atre

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0 Unit 6: DSP applications /slideshow/unit-6-dsp-applications/123400833 dspunit6-181119115248
This includes discussion of DSP applications such as two band digital crossover system,woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction, speech coding and compression, CD recording system ]]>
This includes discussion of DSP applications such as two band digital crossover system,woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction, speech coding and compression, CD recording system ]]> Mon, 19 Nov 2018 11:52:48 GMT /slideshow/unit-6-dsp-applications/123400833 MinakshiAtre@slideshare.net(MinakshiAtre) Unit 6: DSP applications MinakshiAtre This includes discussion of DSP applications such as two band digital crossover system,woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction, speech coding and compression, CD recording system <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dspunit6-181119115248-thumbnail.jpg?width=120&height=120&fit=bounds" /> This includes discussion of DSP applications such as two band digital crossover system,woofers, sqawkers, tweeters, interference cancellation in ECG, speech noise reduction, speech coding and compression, CD recording system

Unit 6: DSP applications from Minakshi Atre

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0 Learning occam razor /slideshow/learning-occam-razor/79944290 learningoccamrazor-170919162843
Learning concept with reasoning and deductive reasoning , classical artificial learning,task,experience and performance measure]]>
Learning concept with reasoning and deductive reasoning , classical artificial learning,task,experience and performance measure]]> Tue, 19 Sep 2017 16:28:43 GMT /slideshow/learning-occam-razor/79944290 MinakshiAtre@slideshare.net(MinakshiAtre) Learning occam razor MinakshiAtre Learning concept with reasoning and deductive reasoning , classical artificial learning,task,experience and performance measure <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/learningoccamrazor-170919162843-thumbnail.jpg?width=120&height=120&fit=bounds" /> Learning concept with reasoning and deductive reasoning , classical artificial learning,task,experience and performance measure

Learning occam razor from Minakshi Atre

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0 Learning in AI /slideshow/learning-in-ai-79938388/79938388 learninginaislideshare-170919135830
Learning model,relevance based learning, instance based learning, reinforcement learning, passive learning, active learning, RBL,KBL]]>
Learning model,relevance based learning, instance based learning, reinforcement learning, passive learning, active learning, RBL,KBL]]> Tue, 19 Sep 2017 13:58:30 GMT /slideshow/learning-in-ai-79938388/79938388 MinakshiAtre@slideshare.net(MinakshiAtre) Learning in AI MinakshiAtre Learning model,relevance based learning, instance based learning, reinforcement learning, passive learning, active learning, RBL,KBL <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/learninginaislideshare-170919135830-thumbnail.jpg?width=120&height=120&fit=bounds" /> Learning model,relevance based learning, instance based learning, reinforcement learning, passive learning, active learning, RBL,KBL

Learning in AI from Minakshi Atre

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0 Waltz algorithm in artificial intelligence /slideshow/waltz-algorithm-in-artificial-intelligence-79880242/79880242 waltzalgorithminartificialintelligence-170918062647
Waltz algorithm, a CSP extension, Line labeling algorithm,]]>
Waltz algorithm, a CSP extension, Line labeling algorithm,]]> Mon, 18 Sep 2017 06:26:47 GMT /slideshow/waltz-algorithm-in-artificial-intelligence-79880242/79880242 MinakshiAtre@slideshare.net(MinakshiAtre) Waltz algorithm in artificial intelligence MinakshiAtre Waltz algorithm, a CSP extension, Line labeling algorithm, <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/waltzalgorithminartificialintelligence-170918062647-thumbnail.jpg?width=120&height=120&fit=bounds" /> Waltz algorithm, a CSP extension, Line labeling algorithm,

Waltz algorithm in artificial intelligence from Minakshi Atre

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0 Perception in artificial intelligence /slideshow/perception-in-artificial-intelligence/79879573 perceptioninartificialintelligence-170918060454
what is perception, vision and hearing perception, speech recognition, speech synthesis]]>
what is perception, vision and hearing perception, speech recognition, speech synthesis]]> Mon, 18 Sep 2017 06:04:54 GMT /slideshow/perception-in-artificial-intelligence/79879573 MinakshiAtre@slideshare.net(MinakshiAtre) Perception in artificial intelligence MinakshiAtre what is perception, vision and hearing perception, speech recognition, speech synthesis <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/perceptioninartificialintelligence-170918060454-thumbnail.jpg?width=120&height=120&fit=bounds" /> what is perception, vision and hearing perception, speech recognition, speech synthesis

Perception in artificial intelligence from Minakshi Atre

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0 Popular search algorithms /MinakshiAtre/popular-search-algorithms 3popularsearchalgorithms-170911095604
AI,Problem solving, Problem solving agents ]]>
AI,Problem solving, Problem solving agents ]]> Mon, 11 Sep 2017 09:56:04 GMT /MinakshiAtre/popular-search-algorithms MinakshiAtre@slideshare.net(MinakshiAtre) Popular search algorithms MinakshiAtre AI,Problem solving, Problem solving agents <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/3popularsearchalgorithms-170911095604-thumbnail.jpg?width=120&height=120&fit=bounds" /> AI,Problem solving, Problem solving agents

Popular search algorithms from Minakshi Atre

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0 Artificial Intelligence Terminologies /slideshow/artificial-intelligence-terminologies/79631875 2terminologies-170911094934
agent, autonomous robot, backward chaining, environment, forward chaining, heuristics, knowledge engineering, percepts, pruning,rule, shell, task, Turing test]]>
agent, autonomous robot, backward chaining, environment, forward chaining, heuristics, knowledge engineering, percepts, pruning,rule, shell, task, Turing test]]> Mon, 11 Sep 2017 09:49:34 GMT /slideshow/artificial-intelligence-terminologies/79631875 MinakshiAtre@slideshare.net(MinakshiAtre) Artificial Intelligence Terminologies MinakshiAtre agent, autonomous robot, backward chaining, environment, forward chaining, heuristics, knowledge engineering, percepts, pruning,rule, shell, task, Turing test <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2terminologies-170911094934-thumbnail.jpg?width=120&height=120&fit=bounds" /> agent, autonomous robot, backward chaining, environment, forward chaining, heuristics, knowledge engineering, percepts, pruning,rule, shell, task, Turing test

Artificial Intelligence Terminologies from Minakshi Atre

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0 composite video signal /slideshow/composite-video-signal-71716522/71716522 1-170203092948
interlaced scanning details, CVS, one line period, blanking pulses]]>
interlaced scanning details, CVS, one line period, blanking pulses]]> Fri, 03 Feb 2017 09:29:48 GMT /slideshow/composite-video-signal-71716522/71716522 MinakshiAtre@slideshare.net(MinakshiAtre) composite video signal MinakshiAtre interlaced scanning details, CVS, one line period, blanking pulses <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/1-170203092948-thumbnail.jpg?width=120&height=120&fit=bounds" /> interlaced scanning details, CVS, one line period, blanking pulses

composite video signal from Minakshi Atre

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0 Basic terminologies of television /slideshow/basic-terminologies-of-television/71715796 basicterminologiesoftelevision-170203091014
It describes the scanning process, vertical as well as horizontal scanning details, interlaced scanning,]]>
It describes the scanning process, vertical as well as horizontal scanning details, interlaced scanning,]]> Fri, 03 Feb 2017 09:10:14 GMT /slideshow/basic-terminologies-of-television/71715796 MinakshiAtre@slideshare.net(MinakshiAtre) Basic terminologies of television MinakshiAtre It describes the scanning process, vertical as well as horizontal scanning details, interlaced scanning, <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/basicterminologiesoftelevision-170203091014-thumbnail.jpg?width=120&height=120&fit=bounds" /> It describes the scanning process, vertical as well as horizontal scanning details, interlaced scanning,

Basic terminologies of television from Minakshi Atre

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0 Mpeg 2 /slideshow/mpeg-2-71665601/71665601 mpeg-2-170202045534
Details of MPEG-2 standard]]>
Details of MPEG-2 standard]]> Thu, 02 Feb 2017 04:55:34 GMT /slideshow/mpeg-2-71665601/71665601 MinakshiAtre@slideshare.net(MinakshiAtre) Mpeg 2 MinakshiAtre Details of MPEG-2 standard <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpeg-2-170202045534-thumbnail.jpg?width=120&height=120&fit=bounds" /> Details of MPEG-2 standard

Mpeg 2 from Minakshi Atre

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0 https://cdn.slidesharecdn.com/profile-photo-MinakshiAtre-48x48.jpg?cb=1661249764 Signal Processing is my area of interest. Education Technology is my concern in these days! https://cdn.slidesharecdn.com/ss_thumbnails/part1speechbasics-211012115237-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/part1-speech-basics/250427801 Part1 speech basics https://cdn.slidesharecdn.com/ss_thumbnails/signalssystemsquickpointers-210426124323-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/signalssystems-quick-pointers-to-fundamentals/247033000 Signals&Systems: Quick... https://cdn.slidesharecdn.com/ss_thumbnails/unit4part3-201125091304-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/unit-4-statistical-learning-methods-em-algorithm/239472564 Unit 4 Statistical Lea...