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Lecture
Digital Filters: Implementation and Analysis
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Related lectures (32)
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Signal Processing and Embedded Systems
Covers signal processing with digital filters and embedded systems, focusing on practical applications.
Digital Filters: Structure and Implementation
Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.
RIF Filters: Characteristics and Synthesis
Explores the characteristics and synthesis of RIF filters, including windowing operations and linear phase filters.
Frequency Response Analysis: Linear Systems and Filters
Covers the frequency response of linear systems and filter design principles.
Linear Phase Filters: Theory and Design
Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.
Frequency Analysis: FFT Algorithm and Digital Filters
Explores the FFT algorithm, cost analysis, and digital filters in frequency analysis.
Digital Filtering Fundamentals
Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.
Signals, Instruments, and Systems: System Properties and Transforms
Introduces system properties, Laplace Transform, and analog filters for signal analysis.
The convolution theorem
Explores the convolution theorem, DTFT reconstruction, frequency response effects, and signal building.
Analog Filters: General
Explores analog filters, linear phase filters, rational transfer functions, and filter design compromises.
