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Introduction to Digital Signal Processing: Theory and Applications
Categories:
Electronics and Communications
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Course Content
Introduction
Definition and significance of digital signal processing (DSP)
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Brief history of DSP
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Applications of DSP
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Signal Processing Basics
Analog and digital signals
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Sampling theorem and sampling rate
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Nyquist frequency and aliasing
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Discrete-time signals and systems
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Digital Signal Processing Techniques
Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)
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Digital filter design (FIR and IIR filters)
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Z-transform and transfer function
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Windowing techniques
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Signal Processing Applications
Image processing techniques (Image filtering, compression, and enhancement)
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Audio processing techniques (Noise reduction, filtering, and equalization)
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Speech processing techniques (Speech recognition and synthesis)
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Communication systems (Modulation, demodulation, and channel coding)
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Advanced Signal Processing Techniques
Adaptive filtering
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Wavelet transform
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Spectral estimation
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Multirate signal processing
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Implementations of Digital Signal Processing
Hardware and software implementations
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DSP processor architectures
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Applications of DSP in real-time systems
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Conclusion
Summary of key concepts covered
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Future developments in DSP
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Resources for further learning.
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