EP1S20F780I6N Altera, EP1S20F780I6N Datasheet - Page 634

• Manufacturer Part Number: EP1S20F780I6N
• Description: IC STRATIX FPGA 20K LE 780-FBGA
• Manufacturer: Altera
• Series: Stratix®r

Specifications of EP1S20F780I6N

• Number Of Logic Elements/cells: 18460
• Number Of Labs/clbs: 1846
• Total Ram Bits: 1669248
• Number Of I /o: 586
• Voltage - Supply: 1.425 V ~ 1.575 V
• Mounting Type: Surface Mount
• Operating Temperature: -40°C ~ 100°C
• Package / Case: 780-FBGA
• Family Name: Stratix
• Number Of Logic Blocks/elements: 18460
• # I/os (max): 586
• Frequency (max): 450.05MHz
• Process Technology: 0.13um (CMOS)
• Operating Supply Voltage (typ): 1.5V
• Logic Cells: 18460
• Ram Bits: 1669248
• Operating Supply Voltage (min): 1.425V
• Operating Supply Voltage (max): 1.575V
• Operating Temp Range: -40C to 100C
• Operating Temperature Classification: Industrial
• Mounting: Surface Mount
• Pin Count: 780
• Package Type: FC-FBGA
• Lead Free Status / RoHS Status: Lead free / RoHS Compliant
• Number Of Gates: -
• Lead Free Status / Rohs Status: Compliant

Discrete Cosine Transform (DCT)
7–56
Stratix Device Handbook, Volume 2
All of the additions in stages 1, 2 and 3 of
symmetric add and subtract pairs. The entire first stage is simply four
such pairs in a very typical cross-over pattern. This pattern is repeated in
stages 2 and 3. Multiplication operations are confined to stage 4 in the
algorithm. This implementation is shown in more detail in the next
section.
DCT Implementation
In taking advantage of the separable transform property of the DCT, the
implementation can be divided into separate stages; row processing and
column processing. However, some data restructuring is necessary
before applying the column processing stage to the results from the row
processing stage. The data buffering stage must transpose the data first.
Figure 7–34
Figure 7–34. Three Separate Stages in Implementing the 2-D DCT
Because the row processing and column processing blocks share the same
1-D 8-point DCT algorithm, the hardware implementation shows this
block as being shared. The DCT algorithm requires a serial-to-parallel
conversion block at the input because it works on blocks of eight data
processing
C
C
x
Row
=
=
cos
shows the different stages.
1
0
0
0
0
0
0
0
----- -
16
x
C
0
0
0
0
0
0
0
4
C
C
0
0
0
0
0
0
6
2
–
C
C
0
0
0
0
0
0
6
2
Transpose
C
C
C
C
0
0
0
0
matrix
7
5
3
1
–
–
–
C
C
C
C
0
0
0
0
3
5
1
7
–
C
C
C
0
0
0
0
C
Figure 7–32
3
7
5
1
–
–
C
C
C
C
0
0
0
0
3
7
1
5
appear in
Altera Corporation
September 2004
processing
Column