TAILIEUCHUNG - Lecture Digital signal processing: Chapter 7 - Nguyen Thanh Tuan

After studying this chapter students will be able to understand frequency analysis of signals and systems. This chapter includes content: Discrete time fourier transform DTFT, discrete fourier transform DFT, fast fourier transform FFT. | 7 Frequency Analysis of Signals and Systems Nguyen Thanh Tuan . B 1 Department of Telecommunications 113B3 1 Ho Chi Minh City University of Technology Email nttbk97@ 1 Frequency analysis of signal involves the resolution of the signal into its frequency sinusoidal components. The process of obtaining the spectrum of a given signal using the basic mathematical tools is known as frequency or spectral analysis. The term spectrum is used when referring the frequency content of a signal. The process of determining the spectrum of a signal in practice base on actual measurements of signal is called . The instruments of software programs used to obtain spectral estimate of such signals are kwon as spectrum analyzers. Digital Signal Processing 2 Frequency analysis of signals and systems The frequency analysis of signals and systems have three major uses in DSP 1 The numerical computation of frequency spectrum of a signal. 2 The efficient implementation of convolution by the fast Fourier transform FFT 3 The coding of waves such as speech or pictures for efficient transmission and storage. Digital Signal Processing 3 Frequency analysis of signals and .

• Kĩ thuật Viễn thông
• Digital signal processing
• Xử lý tín hiệu số
• Lecture Digital signal processing
• Digital signal
• Discrete time fourier transform
• Discrete fourier transform
• Signal processing
• DSP applications
• Digital Signal Processing Research Program
• Avanced Telecommunications and Signal Processing Program
• Signal Processing Program
• Combined Source
• Block processing methods
• Sample processing methods
• VLSI Digital signal processing systems
• DSP systems
• FIR Digital Filters
• Parallel processing
• Digital signal processing: Principles Algorithms and Applications
• Fast fourier transform algorithms
• Discrete time systems
• Design of digital filters
• Multirate digital signal processing
• Lecture Signal processing
• Xử lý tín hiệu
• Mixed signals processing
• Applications of digital signal processing
• Discrete time signals
• Block diagram representation
• Signal flow graph description
• Quantization process
• Digital to analog converters
• Transfer functions
• Digital filter realization
• Discrete time signal
• Ultrasound signal processing
• Hardware software partitioning
• Digital signal processing systems
• Ultrasound devices
• Sampling theorem
• Analog reconstruction
• The z transform
• Properties of the z transform
• Types of signals
• System impulse response
• Fourier transforms
• Inverse z transform
• Properties of z transform
• Periodic sampling
• „Frequency domain representation
• System analysis
• Frequency response
• Filter design
• IIR filter design
• FIR filter design
• Linear phase FIR filter
• Fourier transform
• Fast fourier transform
• Decimation in time FFT algorithms
• Loop bound
• DSP programs