**EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING**

EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING Regulation 2017 Anna University free download. DISCRETE TIME SIGNAL PROCESSING Syllabus EC8553 pdf free download.

**UNIT I DISCRETE FOURIER TRANSFORM EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING**

Review of signals and systems, concept of frequency in discrete-time signals, summary of analysis & synthesis equations for FT & DTFT, frequency domain sampling, Discrete Fourier transform (DFT) – deriving DFT from DTFT, properties of DFT – periodicity, symmetry, circular convolution. Linear filtering using DFT. Filtering long data sequences – overlap save and overlap add method. Fast computation of DFT – Radix-2 Decimation-in-time (DIT) Fast Fourier transform (FFT), Decimation-in-frequency (DIF) Fast Fourier transform (FFT). Linear filtering using FFT.

**UNIT II INFINITE IMPULSE RESPONSE FILTERS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING**

Characteristics of practical frequency selective filters. characteristics of commonly used analog filters – Butterworth filters, Chebyshev filters. Design of IIR filters from analog filters (LPF, HPF, BPF, BRF) – Approximation of derivatives, Impulse invariance method, Bilinear transformation. Frequency transformation in the analog domain. Structure of IIR filter – direct form I, direct form II, Cascade, parallel realizations.

**UNIT III FINITE IMPULSE RESPONSE FILTERS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING**

Design of FIR filters – symmetric and Anti-symmetric FIR filters – design of linear phase FIR filters using Fourier series method – FIR filter design using windows (Rectangular, Hamming and Hanning window), Frequency sampling method. FIR filter structures – linear phase structure, direct form realizations

**UNIT IV FINITE WORD LENGTH EFFECTS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING**

Fixed point and floating point number representation – ADC – quantization – truncation and rounding – quantization noise – input / output quantization – coefficient quantization error – product quantization error – overflow error – limit cycle oscillations due to product quantization and

summation – scaling to prevent overflow.

**UNIT V INTRODUCTION TO DIGITAL SIGNAL PROCESSORS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING**

DSP functionalities – circular buffering – DSP architecture – Fixed and Floating point architecture principles – Programming – Application examples.

Subject name | DISCRETE TIME SIGNAL PROCESSING |

Short Name | DTSP |

Semester | 5 |

Subject Code | EC8553 |

Regulation | 2017 regulation |

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**EC8553 Discrete Time Signal Processing**** Notes**

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