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SIGNAL PROCESSING WITH ANALOG CIRCUIT
Chun Lo
Analog circuit design Main disadvantage: low precision
Due to mismatch in analog circuit components such as transistors, resistors and capacitors
e.g. Amplifiers: lower input signal dynamic range Comparator: lower signal resolution
Transistors: lower accuracy in current mode DAC Advantage:
Less power consumption Possibly smaller area
Mismatch correction By trimming device
Larger device, layout technique in component mismatch
Autozeroing, correlated double sampling in amplifiers
Cost of extra area, power and design complexity
By in herent programming elements Floating gate MOSFETs
First paper Floating Gates Transistors For Precision
Analog circuit Design: An Overview Srinivasan, Graham and Hasler
Second paper Analog Floating –Gate On chip Auditory
Sensing System Interfaces Hasler, Smith, Graham, Ellis and Anderson
First paper Structure of Floating Gate MOSFET
Programming floating gate transistors Programming precision Charge retention
Application examples of Floating Gate MOSFET Differential pairs DAC ADC
MOSFET MOS Transistor Floating Gate MOSFET
The gate is completely surrounded by SiO2 No DC to ground Used in Flash memory, ROM
Programming FG-MOSFET Setting the DC voltage Add or remove charge Mainly two methods
Fowler Nordheim tunneling As a global eraser for all floating gates
Hot electron injection Program each floating gate to the desired value
individually
Programming precision What is the smallest drain current change
A single electron change results in an accuracy of or 12 bits
exp( )exp( )g so
T T
V VI I
U U
( )exp( )exp( )g g s
oT T
V V VI I IU U
exp( ) 1g
T
VII U
T
QVC
exp( ) 1T T
I QI U C
42.8 10X
Charge Retention Short term drift
Observed immediately after programming Proportional to the amount of change that
is programmed into the floating gate Long term charge loss
Themionic emission Related to both temperature and time
Applications Differential pair DAC ADC
Second paper Advance in analog VLSI circuits
Performance close to DSP More option for designeer
Analog Digital Partition Signal Processing Circuits Noise Suppression for speech
enhancement Speech Recognition
Analog Digital Partitioning Power and space
No overhead for tuning and programming Work in subthreshold save power
SN VS Cost
Analog Signal Processing
Noise suppression Main Idea: Attenuate the noise
components
Speech Recognition HMMs
States, transition probabilities and Hidden states are words, output is audio
signal produced by speaker Recognition problem: what is the state of
the system