Easy-to-Use, Ultra-Tiny, Differential, 16-Bit Delta Sigma ADC With I2C Interface
The LTC2453 is an ultra-tiny, fully differential, 16-bit, analog-to-digital converter. The LTC2453 uses a single 2.7V to 5.5V supply and communicates through an I2C interface. The ADC is available in an 8-pin, 3mm x 2mm DFN package. It includes an integrated oscillator that does not require any external components. It uses a delta-sigma modulator as a converter core and has no latency for multiplexed applications. The LTC2453 includes a proprietary input sampling scheme that reduces the average input sampling current several orders of magnitude lower than conventional delta-sigma converters. Additionally, due to its architecture, there is negligible current leakage between the input pins.
Sequential Monte Carlo without Likelihoods
粒子濾波不用似然函數(shù)的情況下
本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions
in the presence of analytically or computationally intractable likelihood functions.
Despite representing a substantial methodological advance, existing methods based on rejection
sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly
require far more iterations than may be practical to implement. Here we propose a sequential
Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate
its implementation through an epidemiological study of the transmission rate of tuberculosis.
The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods
(Metropolis, Gibbs, Wolff, Swendsen-Wang).
Use "help inference" from Matlab to see all options for usage.
2. gbp_preprocess.m and gbp.m
These 2 interfaces split Generalized Belief Propagation into the pre-process
stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use
only one of them, or changing some parameters in between.
Use "help gbp_preprocess" and "help gbp" from Matlab.
3. simulatedAnnealing.m
An interface to the simulated-annealing c-code. This code uses Metropolis
sampling method, the same one used for inference.
Use "help simulatedAnnealing" from Matlab.
selects the mux channel and configures the MAX197 for
second write pulse, written with ACQMOD = 0, termi-
either unipolar or bipolar input range. A write pulse (WR
nates acquisition and starts conversion on WR°Os risin
+ CS) can either start an acquisition interval or initiate a
edge (Figure 6). However, if the second control byte
combined acquisition plus conversion. The sampling
contains ACQMOD = 1, an indefinite acquisition interval
interval occurs at the end of the acquisition interval.
is restarted.
The ACQMOD bit in the input control byte offer
selects the mux channel and configures the MAX197 for
second write pulse, written with ACQMOD = 0, termi-
either unipolar or bipolar input range. A write pulse (WR
nates acquisition and starts conversion on WR°Os risin
+ CS) can either start an acquisition interval or initiate a
edge (Figure 6). However, if the second control byte
combined acquisition plus conversion. The sampling
contains ACQMOD = 1, an indefinite acquisition interval
interval occurs at the end of the acquisition interval.
is restarted.
The ACQMOD bit in the input control byte offer
selects the mux channel and configures the MAX197 for
second write pulse, written with ACQMOD = 0, termi-
either unipolar or bipolar input range. A write pulse (WR
nates acquisition and starts conversion on WR°Os risin
is restarted.
The ACQMOD bit in the input control byte offer+ CS) can either start an acquisition interval or initiate a
edge (Figure 6). However, if the second control byte
combined acquisition plus conversion. The sampling
contains ACQMOD = 1, an indefinite acquisition interval
interval occurs at the end of the acquisition interval.
This experiment uses the Blackfi n BF533/BF537 EZ-KIT to run a simple FIR fi lter on stereo
channels at a sampling frequency of 48 kHz. The
CYCLE register is embedded in the main
program (
process_data.c) to benchmark the time needed to process two FIR fi lters. A
background telemetry channel (BTC) is set up to display the cycle count.
This file is a function under matlab which allow to read, play and plot audio signals from wav file. We can also extract the sampling frequency and coding bit number
