Digital Signal Processing-Coursera

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Digital Signal Processing-Coursera (Size: 1.47 GB)
 2 - 5 - 2.3 - The Karplus-Strong Algorithm [17-41].mp433.52 MB
 2 - 2 - 1.1 - Introduction to signal processing [26-18].mp430.86 MB
 2 - 3 - 2.1 - Discrete time signals [23-38].mp426.21 MB
 2 - 4 - 2.2 - The complex exponential [16-33].mp423.5 MB
 2 - 1 - 1.0 - Welcome to the DSP course [3-22].mp46.4 MB
 2 - 2 - 1.1 - Introduction to signal processing [26-18].srt37.94 KB
 2 - 3 - 2.1 - Discrete time signals [23-38].srt29.76 KB
 2 - 5 - 2.3 - The Karplus-Strong Algorithm [17-41].srt19.97 KB
 2 - 4 - 2.2 - The complex exponential [16-33].srt19.89 KB
 3 - 2 - 3.2 - Hilbert Space, properties and bases [32-08].mp435.01 MB
 3 - 1 - 3.1 - From Euclid to Hilbert [13-08].mp429.05 MB
 3 - 3 - 3.3 - Hilbert Space and approximation [21-40].mp423.85 MB
 3 - 2 - 3.2 - Hilbert Space, properties and bases [32-08].srt38.08 KB
 3 - 3 - 3.3 - Hilbert Space and approximation [21-40].srt27.8 KB
 3 - 1 - 3.1 - From Euclid to Hilbert [13-08].srt16.84 KB
 6 - 3 - 4.2 - The Discrete Fourier Transform [24-07].mp440.67 MB
 6 - 4 - 4.3 - The DFT in practice [20-27].mp436.76 MB
 6 - 2 - 4.1 - Exploration via a change of basis [16-41].mp431.95 MB
 6 - 1 - 4.0 - Introduction to Fourier Analysis [2-55].mp410.47 MB
 6 - 3 - 4.2 - The Discrete Fourier Transform [24-07].srt31.64 KB
 6 - 4 - 4.3 - The DFT in practice [20-27].srt28 KB
 6 - 2 - 4.1 - Exploration via a change of basis [16-41].srt23.13 KB
 Subtitles3.98 KB
 9 - 1 - 4.4 - DFT, DFS, DTFT [21-58].mp436.78 MB
 9 - 2 - 4.5 - DTFT- intuition and properties [17-25].mp428.84 MB
 9 - 1 - 4.4 - DFT, DFS, DTFT [21-58].srt29.86 KB
 9 - 2 - 4.5 - DTFT- intuition and properties [17-25].srt23.39 KB
 4 - 1 - 4.6 - Relationship between transforms [15-43].mp428.95 MB
 4 - 2 - 4.7 - Sinusoidal modulation [13-35].mp427.69 MB
 4 - 1 - 4.6 - Relationship between transforms [15-43].srt17.18 KB
 4 - 2 - 4.7 - Sinusoidal modulation [13-35].srt15.89 KB
 7 - 2 - 4.9 - FFT- history and algorithms [42-23].mp493.43 MB
 7 - 1 - 4.8 - The Short-Time Fourier Transform [19-00].mp432.79 MB
 7 - 3 - 4.x - Why the DFT is useful- A few examples [18-54].mp432.7 MB
 7 - 2 - 4.9 - FFT- history and algorithms [42-23].srt48.81 KB
 7 - 1 - 4.8 - The Short-Time Fourier Transform [19-00].srt25.63 KB
 7 - 3 - 4.x - Why the DFT is useful- A few examples [18-54].srt22.71 KB
 8 - 1 - 5.1 - Linear Filters [14-20].mp425.7 MB
 8 - 3 - 5.3 - Filter stability [10-08].mp417.4 MB
 8 - 2 - 5.2 - Filtering by example [14-22].mp416.61 MB
 8 - 2 - 5.2 - Filtering by example [14-22].srt18.31 KB
 8 - 1 - 5.1 - Linear Filters [14-20].srt18.3 KB
 8 - 3 - 5.3 - Filter stability [10-08].srt12.23 KB
 10 - 1 - 5.4 - Frequency response [22-10].mp436.81 MB
 10 - 3 - 5.6 - Filter design - Part 1- Approximation of ideal filters [18-24].mp430.18 MB
 10 - 2 - 5.5 - Ideal filters [15-31].mp425.75 MB
 10 - 1 - 5.4 - Frequency response [22-10].srt26.17 KB
 10 - 3 - 5.6 - Filter design - Part 1- Approximation of ideal filters [18-24].srt23.76 KB
 10 - 2 - 5.5 - Ideal filters [15-31].srt18.93 KB
 11 - 2 - 5.8 - Implementation of digital filters [13-08].mp423 MB
 11 - 3 - 5.9 - Filter design - Part 2- Intuitive filters [11-21].mp419.84 MB
 11 - 1 - 5.7 - Realizable filters [15-10].mp418.77 MB
 11 - 1 - 5.7 - Realizable filters [15-10].srt19.65 KB
 11 - 2 - 5.8 - Implementation of digital filters [13-08].srt17.39 KB
 11 - 3 - 5.9 - Filter design - Part 2- Intuitive filters [11-21].srt14.33 KB
 12 - 3 - 5.12 - Dereverberation and echo cancelation [24-12].mp435.18 MB
 12 - 1 - 5.10 - Filter design - Part 3- Design from specs [19-46].mp434.09 MB
 12 - 2 - 5.11 - Real-time processing [23-36].mp427.61 MB
 12 - 3 - 5.12 - Dereverberation and echo cancelation [24-12].srt31.38 KB
 12 - 2 - 5.11 - Real-time processing [23-36].srt30.52 KB
 12 - 1 - 5.10 - Filter design - Part 3- Design from specs [19-46].srt26.22 KB
 13 - 3 - 6.2 - Interpolation [15-36].mp426.99 MB
 13 - 4 - 6.3 - The space of bandlimited signals [14-10].mp425.25 MB
 13 - 2 - 6.1 - The continuous-time paradigm [12-02].mp420.99 MB
 13 - 1 - 6.0 - Introduction [8-13].mp420.32 MB
 13 - 3 - 6.2 - Interpolation [15-36].srt17.68 KB
 13 - 4 - 6.3 - The space of bandlimited signals [14-10].srt16.93 KB
 13 - 2 - 6.1 - The continuous-time paradigm [12-02].srt16.77 KB
 13 - 1 - 6.0 - Introduction [8-13].srt10.28 KB
 14 - 3 - 6.6 - Discrete-time processing and continuous-time signals [16-51].mp427.54 MB
 14 - 2 - 6.5 - Sampling and aliasing [13-45].mp423.86 MB
 14 - 1 - 6.4 - Sampling and aliasing- Introduction [10-21].mp421.66 MB
 14 - 4 - 6.X - Another example of sampled acquisition [4-45].mp48 MB
 14 - 3 - 6.6 - Discrete-time processing and continuous-time signals [16-51].srt19.55 KB
 14 - 2 - 6.5 - Sampling and aliasing [13-45].srt16.43 KB
 14 - 1 - 6.4 - Sampling and aliasing- Introduction [10-21].srt14.22 KB
 14 - 4 - 6.X - Another example of sampled acquisition [4-45].srt6.01 KB
 15 - 1 - 7.1 - Stochastic signal processing [15-09].mp425.73 MB
 15 - 2 - 7.2 - Quantization [12-36].mp415.74 MB
 15 - 3 - 7.3 - A_D and D_A conversion [11-45].mp415.51 MB
 15 - 1 - 7.1 - Stochastic signal processing [15-09].srt22.05 KB
 15 - 2 - 7.2 - Quantization [12-36].srt16.62 KB
 15 - 3 - 7.3 - A_D and D_A conversion [11-45].srt14.27 KB
 16 - 1 - 8.1 - Image processing [18-03].mp424.8 MB
 16 - 3 - 8.3 - Frequency analysis [11-59].mp414.89 MB
 16 - 2 - 8.2 - Image manipulations [17-59].mp413.01 MB
 16 - 1 - 8.1 - Image processing [18-03].srt22.68 KB
 16 - 3 - 8.3 - Frequency analysis [11-59].srt14.33 KB
 16 - 2 - 8.2 - Image manipulations [17-59].srt9.87 KB
 17 - 2 - 8.5 - Image compression [14-33].mp426.06 MB
 17 - 1 - 8.4 - Image filtering [20-28].mp425.44 MB
 17 - 3 - 8.6 - The JPEG compression algorithm [17-00].mp419.72 MB
 17 - 1 - 8.4 - Image filtering [20-28].srt26.43 KB
 17 - 3 - 8.6 - The JPEG compression algorithm [17-00].srt23.32 KB
 17 - 2 - 8.5 - Image compression [14-33].srt20.04 KB
 17 - 3 - 9.3 - Controlling the power [18-54].mp431.86 MB
 18 - 3 - 9.6 - ADSL [18-21].mp430.96 MB
 17 - 1 - 9.1 - Digital communication systems [21-00].mp430.67 MB
 18 - 2 - 9.5 - Receiver design [21-54].mp424.75 MB
 18 - 1 - 9.4 - Modulation and demodulation [13-08].mp415 MB
 17 - 2 - 9.2 - Controlling the bandwidth [13-06].mp414.87 MB
 18 - 2 - 9.5 - Receiver design [21-54].srt31.37 KB
 17 - 1 - 9.1 - Digital communication systems [21-00].srt30.55 KB
 17 - 3 - 9.3 - Controlling the power [18-54].srt30.07 KB
 18 - 3 - 9.6 - ADSL [18-21].srt24.17 KB
 17 - 2 - 9.2 - Controlling the bandwidth [13-06].srt18.06 KB
 29 - 2 - 10.2 Research Projects in Our Lab [20-06].mp444.21 MB
 29 - 1 - 10.1 - The end [11-00].mp419.02 MB
 29 - 3 - 10.3 - Startups and DSP [10-07].mp417.55 MB
 29 - 4 - 10.4 - Acnowledgements [2-24].mp44.24 MB
 29 - 2 - 10.2 Research Projects in Our Lab [20-06].srt31.51 KB
 29 - 1 - 10.1 - The end [11-00].srt14.98 KB
 29 - 3 - 10.3 - Startups and DSP [10-07].srt13.01 KB
 29 - 4 - 10.4 - Acnowledgements [2-24].srt3.01 KB

Description



About the Course

The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability.

Course Syllabus

Broad outline of the topics covered in the class:

Introduction: What is signal processing, history of the topic, application examples.
Discrete-time (DT) signals: the discrete-time complex exponential, and a computer music synthesis example.
Euclid and Hilbert: Signal processing as geometry, vectors spaces, bases, approximations.
Fourier Analysis: The discrete Fourier transform (DFT) and series (DFS). The discrete-time Fourier transform (DTFT). Examples. The fast Fourier transform algorithm (FFT).
Linear Filters: Linear time-invariant systems, convolution, ideal and realizable filters. Filter design and implementation, examples.
Interpolation and Sampling: Continuous-time (CT) signals, interpolation, sampling. The sampling theorem as orthonormal basis expansion. Processing of CT signals in DT.
Stochastic Signal Processing and Quantization: Stochastic signals, quantization, analog-to-digital (ADC) and digital-to-analog (DAC) conversion.
Image Processing: Introduction to image processing and two-dimensional (2D) Fourier analysis. Filtering and compression. The JPEG compression standard.
Digital Communication Systems: Analog channels and bandwidth/power constraints. Modulation and demodulation. Transmitter and receiver design. ADSL.

Recommended Background

Fundamentals of linear algebra and calculus are a must. Familiarity with probability theory and system theory are highly recommended. Familiarity with Matlab (or equivalent) and/or scientific programming are a plus

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1.47 GB
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Digital Signal Processing-Coursera