MCP3909EV-MCU16 Microchip Technology, MCP3909EV-MCU16 Datasheet - Page 81

• Manufacturer Part Number: MCP3909EV-MCU16
• Description: EVALUATION BOARD FOR MCP3909
• Manufacturer: Microchip Technology

Specifications of MCP3909EV-MCU16

• Number Of Adc's: 2
• Number Of Bits: 16
• Sampling Rate (per Second): 15k
• Data Interface: Serial
• Inputs Per Adc: 1 Differential
• Input Range: ±1 V
• Voltage Supply Source: Analog and Digital
• Operating Temperature: -40°C ~ 85°C
• Utilized Ic / Part: MCP3909
• Silicon Manufacturer: Microchip
• Application Sub Type: ADC
• Kit Application Type: Data Converter
• Silicon Core Number: MCP3909
• Kit Contents: Board
• Lead Free Status / RoHS Status: Lead free / RoHS Compliant

© 2009 Microchip Technology Inc.
Where:
EQUATION C-10:
Equation C-10 is called the quasi-synchronous window function. After determining the
sampling points, the number of iterations and numerical quadrature method, the
coefficients of quasi-synchronous window function will become definite, and a
quasi-synchronous window function arrays may be established in advance.
Using the quasi-synchronous window function to carry out the weighted process of the
original data is equivalent to carrying out data synchronization one time, and the
algorithm realization is also very simple that only a multiplication of the original data and
quasi-synchronous window function arrays is required. After processing, the new
periodic signal will have the same period and frequency components as the original
signal, and the synchronization error of the new signal becomes smaller.
Figure C-3 is a schematic of the quasi-synchronous window function characteristics in
the time domain and data processing. In Figure C-3, the red curve is the characteristic
of the window function, and the blue curve is input signal, and the green curve is the
output signal.
FIGURE C-3:
Processing.
Window function
Raw data
Data processed
Quasi-Synchronous Window Function Characteristics Curve and Data
Sampling point (1-193) Time 3.2 ksps
R
i
=
----- -
N
1
n
Power Calculation Theory
⋅
η
i
（
i = 0 ~ n x N
）
DS51723A-page 81