Features
- Single Chip Narrow Band Filter with up to 96dB Attenuation
- DC to 33MHz Clock Rate
- 16-Bit 2's Complement Input
- 20-Bit Coefficients in FIR
- 24-Bit Extended Precision Output
- Programmable Decimation up to a Maximum of 16,384
- Standard 16-Bit Microprocessor Interface
- Filter Design Software Available DECIMATE™
- Up to 512 Taps
Description
Support is limited to customers who have already adopted these products.
The HSP43220 Decimating Digital Filter is a linear phase low pass decimation filter which is optimized for filtering narrow band signals in a broad spectrum of a signal processing applications. The HSP43220 offers a single chip solution to signal processing applications which have historically required several boards of ICs. This reduction in component count results in faster development times as well as reduction of hardware costs. The HSP43220 is implemented as a two stage filter structure. As seen in the block diagram, the first stage is a high order decimation filter (HDF) which utilizes an efficient sample rate reduction technique to obtain decimation up to 1024 through a coarse low-pass filtering process. The HDF provides up to 96dB aliasing rejection in the signal pass band. The second stage consists of a finite impulse response (FIR) decimation filter structured as a transversal FIR filter with up to 512 symmetric taps which can implement filters with sharp transition regions. The FIR can perform further decimation by up to 16 if required while preserving the 96dB aliasing attenuation obtained by the HDF. The combined total decimation capability is 16, 384. The HSP43220 accepts 16-bit parallel data in 2's complement format at sampling rates up to 33 MSPS. It provides a 16-bit microprocessor compatible interface to simplify the task of programming and three-state outputs to allow the connection of several ICs to a common bus. The HSP43220 also provides the capability to bypass either the HDF or the FIR for additional flexibility.
Applications
- Very Narrow Band Filters
- Zoom Spectral Analysis
- Channelized Receivers
- Large Sample Rate Converter
| Part Number | Status | Samples | Stock | Package | Carrier Type |
|---|---|---|---|---|---|
| HSP43220JC-25 | Obsolete | N/A | In Stock | PLCC | Tube |
| HSP43220JC-25Z | Obsolete | N/A | In Stock | PLCC | Tube |
| HSP43220JC-33 | Obsolete | N/A | In Stock | PLCC | Tube |
| HSP43220JC-33Z | Obsolete | N/A | In Stock | PLCC | Tube |
Filters
Applied Filters
- End Of Life NoticePDF 200 KB PLC15033 Jun 11, 2015
- Application NotePDF 260 KB an9403 Jun 29, 2006AI-generated Summary: The document explains how to predict data throughput in a digital decimation filter system, focusing on the Intersil HSP43220. It details calculating the number of input points required to generate valid output points, considering two system types (A and B) with different clocking behaviors. The timing and delay calculations for filter pipelines are presented, along with examples of filter configurations. It emphasizes aligning decimation counters to ensure consistent output and removing invalid points before FFT processing.
- Application NotePDF 443 KB an9509 Apr 29, 2000AI-generated Summary: The document explains digital IF subsampling using the HI5702 A/D converter and Intersil digital signal processors HSP45116 and HSP43220. It discusses selecting sampling rates based on Nyquist criteria, noise, and interference considerations, emphasizing a 4MHz sampling rate to alias a 45MHz IF to 1MHz. It highlights digital filtering's role in improving adjacent channel rejection by 60-70dB and the need for adequate A/D headroom to prevent clipping. The HSP43220 decimating digital filter is detailed, including its programmable features and cascade filter architecture for precise filtering performance.
- Application NotePDF 524 KB an9603 Apr 28, 2000AI-generated Summary: Digital filters process signals by manipulating sampled data using two main types: Finite Impulse Response (FIR) and Infinite Impulse Response (IIR). FIR filters have only zeros and are always stable with linear phase response, while IIR filters include feedback, offering sharper transitions but potential stability issues. Filter design involves specifying ideal responses, creating floating-point coefficients, and quantizing them for fixed-point implementation. Decimation reduces sampling rates by discarding samples, improving efficiency, whereas interpolation increases sampling rates by inserting zeros and filtering to preserve the signal spectrum.
- DocumentPDF 194 KB tb314 May 09, 2000
- DocumentPDF 239 KB tb311 Aug 11, 1998
- DocumentPDF 262 KB tb309 Aug 10, 1998
Recommended Documents (1)
Datasheets (1)
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- Application NotePDF 260 KB an9403 Jun 29, 2006AI-generated Summary: The document explains how to predict data throughput in a digital decimation filter system, focusing on the Intersil HSP43220. It details calculating the number of input points required to generate valid output points, considering two system types (A and B) with different clocking behaviors. The timing and delay calculations for filter pipelines are presented, along with examples of filter configurations. It emphasizes aligning decimation counters to ensure consistent output and removing invalid points before FFT processing.
- Application NotePDF 443 KB an9509 Apr 29, 2000AI-generated Summary: The document explains digital IF subsampling using the HI5702 A/D converter and Intersil digital signal processors HSP45116 and HSP43220. It discusses selecting sampling rates based on Nyquist criteria, noise, and interference considerations, emphasizing a 4MHz sampling rate to alias a 45MHz IF to 1MHz. It highlights digital filtering's role in improving adjacent channel rejection by 60-70dB and the need for adequate A/D headroom to prevent clipping. The HSP43220 decimating digital filter is detailed, including its programmable features and cascade filter architecture for precise filtering performance.
- Application NotePDF 524 KB an9603 Apr 28, 2000AI-generated Summary: Digital filters process signals by manipulating sampled data using two main types: Finite Impulse Response (FIR) and Infinite Impulse Response (IIR). FIR filters have only zeros and are always stable with linear phase response, while IIR filters include feedback, offering sharper transitions but potential stability issues. Filter design involves specifying ideal responses, creating floating-point coefficients, and quantizing them for fixed-point implementation. Decimation reduces sampling rates by discarding samples, improving efficiency, whereas interpolation increases sampling rates by inserting zeros and filtering to preserve the signal spectrum.
Application Notes & White Papers (3)
- End Of Life NoticePDF 200 KB PLC15033 Jun 11, 2015
Product Notices (PCN, EOL, etc) (1)
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- DocumentPDF 194 KB tb314 May 09, 2000
- DocumentPDF 239 KB tb311 Aug 11, 1998
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