Cascaded Integrator Comb Filter 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.

Slides:



Advertisements
Similar presentations
Chapter 14 Finite Impulse Response (FIR) Filters.
Advertisements

1 A Low Power CMOS Low Noise Amplifier for Ultra-wideband Wireless Applications 指導教授 : 林志明 學生 : 黃世一
Hossein Sameti Department of Computer Engineering Sharif University of Technology.
3. Digital Implementation of Mo/Demodulators
Design of a Power-Efficient Interleaved CIC Architecture for Software Defined Radio Receivers By J.Luis Tecpanecatl-Xihuitl, Ruth Aguilar-Ponce, Ashok.
Filtering Filtering is one of the most widely used complex signal processing operations The system implementing this operation is called a filter A filter.
Decimation Filter A Design Perspective
Digital Signal Processing – Chapter 11 Introduction to the Design of Discrete Filters Prof. Yasser Mostafa Kadah
Ideal Filters One of the reasons why we design a filter is to remove disturbances Filter SIGNAL NOISE We discriminate between signal and noise in terms.
LINEAR-PHASE FIR FILTERS DESIGN
Sampling, Reconstruction, and Elementary Digital Filters R.C. Maher ECEN4002/5002 DSP Laboratory Spring 2002.
A Comprehensive Study of Wavelet Transforms for SPIHT 台北科技大學資工所指導教授:楊士萱學生:廖武傑 2003/03/27.
A Wideband Low Power VCO for IEEE a
Sigma Delta A/D Converter SamplerModulator Decimation Filter x(t) x[n]y[n] Analog Digital fsfs fsfs 2 f o 16 bits e[n] Over Sampling Ratio = 2f o is Nyquist.
FPGA Based Fuzzy Logic Controller for Semi- Active Suspensions Aws Abu-Khudhair.
1 Wideband LNA for a Multistandard Wireless Receiver in 0.18μm CMOS 指導教授 : 林志明 學生 : 黃世一
ACCESS IC LAB Graduate Institute of Electronics Engineering, NTU Multirate Processing of Digital Signals: Fundamentals VLSI Signal Processing 台灣大學電機系 吳安宇.
Transition Converter " Supply signals from new antennas to old correlator. " Will be discarded or abandoned in place when old correlator is turned off.
1 Diagramas de bloco e grafos de fluxo de sinal Estruturas de filtros IIR Projeto de filtro FIR Filtros Digitais.
High Speed, Low Power FIR Digital Filter Implementation Presented by, Praveen Dongara and Rahul Bhasin.
UWB (Ultra Wideband) Communication System 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
1/18 1.Intro 2. Implementation 3. Results 4. Con.
Smart Antennas and Transmit Diversity for GSM Systems 指導教授:黃文傑 博士 學 生:曾凱霖 學 號: M 無線通訊實驗室.
Software Defined Radio 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
1 A Low Spur Fractional-N Frequency Synthesizer Architecture 指導教授 : 林志明 教授 學生 : 黃世一 Circuits and Systems, ISCAS IEEE International Symposium.
1 Lecture 3: March 6, 2007 Topic: 1. Frequency-Sampling Methods (Part I)
1 A CMOS 5-GHz Micro-Power LNA 指導教授 : 林志明 教授 學生 : 黃世一 Hsieh-Hung Hsieh and Liang-Hung Lu Department of Electrical Engineering and Graduate Institute of.
Propagation Measurements and Models for Wireless Communication Channels 指導教授:黃文傑 老師 學  生:曾凱霖 學  號:M 無線通訊實驗室.
Transmit Diversity in 3G CDMA System 指導老師:黃文傑 博士 學生:吳濟廷
長庚大學無線通訊實驗室 MIMO - A solution for advanced wireless access 指導老師:黃文傑 博士 學生:吳濟廷
Fundamentals of Digital Signal Processing. Fourier Transform of continuous time signals with t in sec and F in Hz (1/sec). Examples:
Chapter 7 Finite Impulse Response(FIR) Filter Design
FIR Filter Design & Implementation
Software Defined Radios 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
研 究 生:吳濟廷 指導教授:高永安 口試日期: 長庚大學電機所 無線通訊實驗室
BIEN425 – Lecture 15 By the end of this lecture, you should be able to: –Design and implement integer decimators and interpolators –Design and implement.
1 Digital Signal Processing. 2 Digital Signal Processing Topic 6: Filters-Introduction 1. Simple Filters 2. Ideal Filters 3. Linear Phase and FIR filter.
Analog and Digital Filters used in Audio Contexts Tufts University – ME 93 October 22, 2015.
1 Lecture 4: March 13, 2007 Topic: 1. Uniform Frequency-Sampling Methods (cont.)
Software Defined Radios 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
Channel Capacity of MIMO Channels 指導教授:黃文傑 老師 指導教授:黃文傑 老師 學 生:曾凱霖 學 生:曾凱霖 學 號: M 學 號: M 無線通訊實驗室 無線通訊實驗室.
Software Defined Radios 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
Power Analysis of Embedded Software : A Fast Step Towards Software Power Minimization 指導教授 : 陳少傑 教授 組員 : R 張馨怡 R 林秀萍.
Contemporary Engineering Sciences, Vol. 7, 2014, no. 8, HIKARI Ltd, hikari.comhttp://dx.doi.org/ /ces Design of Five.
Wireless Communication Research Lab. CGU What is Convolution Code? 指導教授:黃文傑 博士 學生:吳濟廷
UWB (Ultra Wideband) Communication System 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
Chapter 6 Discrete-Time System. 2/90  Operation of discrete time system 1. Discrete time system where and are multiplier D is delay element Fig. 6-1.
PARALLEL IMPLEMENTATIONS OF OPTIMIZING NEURAL NETWORKS 指導教授:梁廷宇 教授 姓名:紀欣呈 學號: 系所:碩光電一甲 ANDREA DI BLAS ARUNJAGOTA RICHARD HUGHEY Baskin school.
Analysis to Peak-to-Average Power Ratio in OFDM Systems 指導老師 : 黃文傑 博士 研究生 : 吳濟廷
Lecture 09b Finite Impulse Response (FIR) Filters
Chapter 6. Digital Filter Structures and Designs Section
Finite Impulse Response Filtering EMU-E&E Engineering Erhan A. Ince Dec 2015.
VLSI SP Course 2001 台大電機吳安宇 Multirate Processing of Digital Signals: Fundamentals For NTUEE VLSI Signal Processing Course Instructor: 吳安宇教授.
1 BIEN425 – Lecture 9 By the end of the lecture, you should be able to: –Describe the properties of ideal filters –Describe the linear / logarithm design.
Professor A G Constantinides 1 Digital Filter Specifications We discuss in this course only the magnitude approximation problem There are four basic types.
EEE4176 Applications of Digital Signal Processing
蔡宗珉 : Multi-stage Filter Implementation
D. Sabitha and K. Hariharan SASTRA University, India
D. Sabitha and K. Hariharan SASTRA University, India
LINEAR-PHASE FIR FILTERS DESIGN
Lect5 A framework for digital filter design
Everything You Ever Wanted to Know About Filters*
Ideal Filters One of the reasons why we design a filter is to remove disturbances Filter SIGNAL NOISE We discriminate between signal and noise in terms.
Lect6 Finite Impulse response (FIR) filter design
Chapter 6 Discrete-Time System
Everything You Ever Wanted to Know About Filters*
Chapter 7 Finite Impulse Response(FIR) Filter Design
Multirate Processing of Digital Signals: Fundamentals
Chapter 7 Finite Impulse Response(FIR) Filter Design
Fixed-point Analysis of Digital Filters
Presentation transcript:

Cascaded Integrator Comb Filter 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士

Outline What is Cascaded Integrator Comb (CIC) Filter CIC filter transfer function CIC filter Implemented Register Growth Conclusions

What is Cascaded Integrator Comb (CIC) Filter In SDR system, samples rate changes very large. A digital linear phase finite impulse (FIR) filters for decimation and interpolation. No multipliers and use limited storage. Cascaded ideal integrator stages operating at a high sampling rate and an equal number of comb stages operating at a low sampling rate.

What is Cascaded Integrator Comb (CIC) Filter Well-suited for FPGA and ASIC implementation Reduce the computational expense of the operation

CIC filter transfer function

1 &2 stage CIC frequency response for M=8

CIC filter transfer function 4 stage CIC frequency response for M=8 &16

CIC Implement of an Decimation Filter

CIC Implement of an interpolation Filter

Register Growth

Conclusions Advantage No multipliers,no storage is required for filter coefficients The structure of CIC filters is very “regular” Little external control or complicated local timing is required Easily design for wide range of rate change factors “M”, with addition of scaling circuit and minimal changes filter timing

Conclusions Disadvantage Register widths can become large with “M” If system with a fixed decimation ratio, need a designed filter to compensate for the CIC passband droop. Frequency response is fully determined by M & L A new CIC decimation filter with using “sharpening”

End Thank you for your attention