FONT Meeting1 Digital signal filtering N. Blaskovic.

Slides:



Advertisements
Similar presentations
Signals and Systems Fall 2003 Lecture #7 25 September Fourier Series and LTI Systems 2.Frequency Response and Filtering 3.Examples and Demos.
Advertisements

DCSP-3: Fourier Transform (continuous time) Jianfeng Feng
DCSP-3: Fourier Transform Jianfeng Feng Department of Computer Science Warwick Univ., UK
Filter Design (1) Jack Ou ES590. Outline Butterworth LPF Design Example LPF to HPF Conversion LPF to BPF Conversion LPF to BRF Conversion.
HILBERT TRANSFORM Fourier, Laplace, and z-transforms change from the time-domain representation of a signal to the frequency-domain representation of the.
N. BlaskovicFONT Meeting1 Preliminary resolution study results N. Blaskovic.
Digital Image Processing
First Order Filter Circuit Section First Order Filter Design LPF: RL HPF: RL LPF: RC HPF:RC.
Signals The main function of the physical layer is moving information in the form of electromagnetic signals across a transmission media. Information can.
Physics 145 Introduction to Experimental Physics I Instructor: Karine Chesnel Office: N319 ESC Tel: Office hours: on appointment.
Analog-to-digital Conversion and Digital-to-analog Conversion (with DSP) ES-3.
N. BlaskovicFONT Meeting1 November 2013 week 2 FONT shift summary N. Blaskovic.
FONT Meeting1 Calibrations over IP LO power scan N. Blaskovic.
Intro to Fourier Analysis Definition Analysis of periodic waves Analysis of aperiodic waves Digitization Time-frequency uncertainty.
Variable Phenomena Nyquist Sampling Harry Nyquist (1889 – 1976)
FONT Meeting1 Waveforms with and without BPFs N. Blaskovic.
TEL312 Electronic Communications Fundamentals Modulation Modulation is the process by which information (message) is transformed Into waveforms that are.
ELEC Lecture 141 ELEC 412 RF & Microwave Engineering Fall 2004 Lecture 14.
5th Order Butterworth Low Pass Filter. Fifth Order Butterworth LPF The normalized Butterworth low pass filter equation is: Design a fifth order Butterworth.
G52IIP, School of Computer Science, University of Nottingham 1 Image Transforms Fourier Transform Basic idea.
N. BlaskovicFONT Meeting1 FONT5 board #2 DAC tests N. Blaskovic.
FONT GROUP MEETING RES VS SAMPLE NO. Talitha Bromwich - Monday, 20 July 2015.
Digital Image Processing Chapter # 4 Image Enhancement in Frequency Domain Digital Image Processing Chapter # 4 Image Enhancement in Frequency Domain.
EE302 Lesson 19: Digital Communications Techniques 3.
Fundamentals Introduction Seismic waves: Propagation Velocity and Amplitudes Seismogram Measurement systems Sources, receivers, Acquisition strategies.
(Lecture #08)1 Digital Signal Processing Lecture# 8 Chapter 5.
FJPPL-FKPPL Workshop on ATF21 FONT digitisation studies of IP BPMs D. Bett, N. Blaskovic, P. Burrows, G. Christian, M. Davis, Y. I. Kim, C. Perry John.
UNIT-5 Filter Designing. INTRODUCTION The Digital filters are discrete time systems used mainly for filtering of arrays. The array or sequence are obtained.
Chapter 8 Design of infinite impulse response digital filter.
Filtering. What Is Filtering? n Filtering is spectral shaping. n A filter changes the spectrum of a signal by emphasizing or de-emphasizing certain frequency.
1 Lab. 4 Sampling and Rate Conversion  Sampling:  The Fourier transform of an impulse train is still an impulse train.  Then, x x(t) x s (t)x(nT) *
ENE 208: Electrical Engineering Mathematics Fourier Series.
The ECG UConn BME 290. Buffers What is a buffer? –Non-inverting amplifier with a gain of 1 Why use a buffer? –Buffers provide a high input impedance.
FONT Meeting1 Charge normalisation and IP LO power scan N. Blaskovic.
Digital Signal Processing. Discrete Fourier Transform Inverse Discrete Fourier Transform.
Digital Signal Processing Solutions to Final 2014 Edited by Yang-Ting Justing Chou Confirmed by Prof. Jar-Ferr Kevin Yang LAB: R, TEL: ext
IPBPM issues (Limitation of resolution) Siwon Jang (KNU)
Prof. Nizamettin AYDIN Advanced Digital Signal Processing 1.
Gustavo Cancelo Analysis of the phase shift error between A and B signals in BPMs BPM project.
FONT Meeting1 3-BPM resolution with digital filtering N. Blaskovic.
Computer Graphics & Image Processing Chapter # 4 Image Enhancement in Frequency Domain 2/26/20161.
2D Fourier Transform.
CALIBRATIONS IPBPM FILTER TESTS Siwon Jang Hoyeong Jeong Glenn Christian Talitha Bromwich Friday, 1 May Talitha Bromwich, FONT Group Meeting.
N. BlaskovicFONT Meeting1 ATF November 2013 shift plan N. Blaskovic.
Cavity BPM: Multi-bunch analysis N Joshi, S Boogert, A Lyapin, F. Cullinan, et al. Royal Holloway University of London,
FONT GROUP MEETING ATF JUNE SUMMARY Neven & Talitha Talitha Bromwich - Friday, 26 June 2015.
Fourier transform.
Amity School of Engineering & Technology 1 Amity School of Engineering & Technology DIGITAL IMAGE PROCESSING & PATTERN RECOGNITION Credit Units: 4 Mukesh.
Digital Image Processing Lecture 8: Image Enhancement in Frequency Domain II Naveed Ejaz.
 What is Filter ? A Filter is an electrical network that can transmit signal within a specified frequency range. This Frequency range is called PASS BAND.
ATF Meeting1 IP BPM studies with Honda’s electronics Neven Blaskovic with Wunghoa Park Oscar Blanco Alexis Gamelin N. Blaskovic.
N. BlaskovicFONT Meeting1 Feedforward runs N. Blaskovic.
Test! OpAmp Active Filters
Figure 8.1 (p. 615) Time-domain condition for distortionless transmission of a signal through a linear time-invariant system. Signals and Systems, 2/E.
Siwon Jang Hoyeong Jeong Glenn Christian Talitha Bromwich
Resolution Study T. Bromwich FONT 8 September 2017.
Section II Digital Signal Processing ES & BM.
Speech Signal Processing
DIGITAL FILTERS h = time invariant weights (IMPULSE RESPONSE FUNCTION)
Wireless Communications
Figure Hz sine wave to be sampled.
Advanced Digital Signal Processing
Developing a Versatile Audio Synthesizer TJHSST Computer Systems Lab
Lect6 Finite Impulse response (FIR) filter design
EE521 SystemView Example James K Beard, Ph.D. (215) 12/8/2018
Digital Image Processing
Lecture 2: Frequency & Time Domains presented by David Shires
Electronic Circuit-II
Electronic Circuit-II
Discrete Fourier Transform
Presentation transcript:

FONT Meeting1 Digital signal filtering N. Blaskovic

Contents Fourier transforms of I and Q waveforms without BPF and with 714 MHz & C-band BPFs Digital LPF tests and application to data without BPFs FONT Meeting2N. Blaskovic

Fourier transforms Waveforms and their Fourier transforms: –Without BPF (12 June) –With 714 MHz BPF on dipole signal (12 June) –With C-band BPF on dipole signal (19 June) New: –Pedestal subtracted –FFT of all usable samples (184 samples) FONT Meeting3N. Blaskovic

FONT Meeting4N. Blaskovic IPA I IPA Q no BPF

FONT Meeting5N. Blaskovic IPA I IPA Q 714 MHz BPF

FONT Meeting6N. Blaskovic IPA I IPA Q C-band BPF

Digital filtering Use a 6 th order low pass Butterworth filter Cut-off frequency: 25 MHz Sampling frequency: 238 MHz (SIS) FONT Meeting7N. Blaskovic

FONT Meeting8N. Blaskovic 25 MHz119 MHz 25 MHz119 MHz

Digital filtering Test 25 MHz digital LPF with signals: –A: sine waveform with 9.5 MHz frequency –B: sine waveform with 47.6 MHz frequency –C: sum of A and B Filtered signals are denoted Af, Bf & Cf, respectively Phase lag of filtered signals observed relative to unfiltered signals FONT Meeting9N. Blaskovic

FONT Meeting10N. Blaskovic

FONT Meeting11N. Blaskovic

FONT Meeting12N. Blaskovic

FONT Meeting13N. Blaskovic

Digital filtering Digital LPF applied to data without BPFs: –10 MHz LPF (corresponding to 714 MHz BPF bandwidth) –25 MHz LPF (corresponding to C-band BPF bandwidth (?)) FONT Meeting14N. Blaskovic

FONT Meeting15N. Blaskovic IPA I IPA Q no digital LPF

FONT Meeting16N. Blaskovic IPA I IPA Q 10 MHz LPF

FONT Meeting17N. Blaskovic IPA I IPA Q 25 MHz LPF

FONT Meeting18 Appendix Waveforms and their Fourier transforms for IPB and IPC with different BPFs and 10 & 25 MHz digital LPFs without BPF N. Blaskovic

FONT Meeting19N. Blaskovic IPB I IPB Q no BPF

FONT Meeting20N. Blaskovic IPB I IPB Q 714 MHz BPF

FONT Meeting21N. Blaskovic IPB I IPB Q C-band BPF

FONT Meeting22N. Blaskovic IPB I IPB Q 10 MHz LPF

FONT Meeting23N. Blaskovic IPB I IPB Q 25 MHz LPF

FONT Meeting24N. Blaskovic IPC I IPC Q no BPF

FONT Meeting25N. Blaskovic IPC I IPC Q 714 MHz BPF

FONT Meeting26N. Blaskovic IPC I IPC Q C-band BPF

FONT Meeting27N. Blaskovic IPC I IPC Q 10 MHz LPF

FONT Meeting28N. Blaskovic IPC I IPC Q 25 MHz LPF